Research of Intrusion Detection Algorithm Based on Particle Swarm Optimization and Immune Agent

Aiming at resolving the problem of low detecting speed and high false positive rate of traditional intrusion detection system,Quantum-behaved particle swarm optimization,immune principle and mobile agent are combined in this thesis.An intrusion detection model based on particle swarm optimization and immune agent is proposed.System model and systematic construction is introduced,and system performance is tested.The experiment results indicate that the system can improve the low detecting speed and high false positive rate of traditional intrusion detection system.